Performance evaluation of preconditioning method for in-body current density analysis using numerical human model

• Nomura Masamune

  Graduate Course in Engineering, Graduate School of Engineering, University of Miyazaki

• Tarao Hiroo

  Department of Electrical and Computer Engineering, National Institute of Technology, Kagawa College

• Hayashi Noriyuki

  Department of Electrical and System Engineering, Faculty of Engineering, University of Miyazaki

• Takei Amane

  Department of Electrical and System Engineering, Faculty of Engineering, University of Miyazaki

抄録

Iterative methods such as the COCG method and the COCR method take too long to solve large-scale linear equations obtained by the SPFD method, which is a current density analysis method that uses a numerical human model. Therefore, in the present study, in order to accelerate these methods, we introduce iterative methods with various preconditioning methods. The results indicate that the block decomposition method can improve the parallelism of the IC and SSOR preconditioning. In addition, SSOR preconditioning and block SSOR preconditioning for a single thread and block IC decomposition preconditioning for multiple threads are the fastest methods used in the present study.

収録刊行物

• 日本シミュレーション学会英文誌

  日本シミュレーション学会英文誌 5 (2), 29-47, 2018

  一般社団法人 日本シミュレーション学会

キーワード

• Numerical human model
• Current density analysis
• COCG method
• COCR method
• Preconditioning
• Block decomposition

詳細情報

• CRID: 1390845713072029696
• NII論文ID: 130007623147
• DOI: 10.15748/jasse.5.29
• ISSN: 21885303
• Web Site: https://www.jstage.jst.go.jp/article/jasse/5/2/5_29/_pdf
• 本文言語コード: en
• データソース種別:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• 抄録ライセンスフラグ: 使用不可